Security Scan Report: wefyrfge.cc

Submitted: Mar 16, 2026, 6:27:30 PMCompleted: Mar 16, 2026, 6:29:01 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 34 HTTP transactions. The main domain is wefyrfge.cc and was registered NaN years ago.

Submitted URL: https://wefyrfge.cc/

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

New, unranked site offering lottery prizes – likely an advance‑fee fraud; avoid.

Risk Factors
Critical domain age (<7 days) indicating a freshly registered malicious site
Lottery/advance‑fee scam content promising free prizes
Unranked domain with no established reputation
Domain age information unavailable

Details

Page Title

Lottery

Scan Type

public

Language

🇪🇸

Spanish

(50% confidence)

Category

gambling betting

(50%)

Domain Information

The domain name 'wefyrfge.cc' uses the .cc country-code top-level domain without a subdomain. The registrable portion 'wefyrfge' spans 8 characters holding 2 vowels versus 6 consonants. It segments into 4 words: we, fy, rf, ge. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wefyrfge.cc/

Page Load Overview

2.55s
Total Load Time
33
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:2,723 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as es

Website Classification

Primary Category

gambling betting50% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
50%
adult content
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17154.205.159.14Jakarta, Jakarta, Indonesia
AS138915Kaopu Cloud HK Limited
16106.54.228.253Indonesia
332--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FDD2D714714238655837E694F4DB0F1C6467D339D20B8AE893BE264DBFDACE8682E734

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:dfwpW5wpyM1nQL6rUKUlCbPfvvTzhBeC3D:do8Gt1nQL6rUKUsbPfvvTzhBeC3D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30327:APYaCCpkMBBIIQAKBMuEjRQBk8ximB6KUIwMhWGgMJiRE1RSApQKgAEQDTJ/ABvAA7C4REalNADkYRAIyGDCkAABEAQWCRtp

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:0000181819ff01ff
Perceptual Hash:884833b3dc0df13f
Difference Hash:71b1b3b333cc7321
Wavelet Hash:00001819ffff19ff
Color Hash:#8779d2

Scan History

Scan history not available

Unable to load historical scan data